【專題演講】潘正祥教授 代理輔助模型的元啟發式最佳化演算法

演講日期 2024-11-12
演講時間 15:10-17:00
演講者 :潘正祥教授
服務單位
:南京信息工程大學人工智能學院
演講題目
:代理輔助模型的元啟發式最佳化演算法
演講地點
:第三國際會議廳
:林宜蓁、陳範耘

摘要:
元啟發式最佳化演算法已被成功應用到許多工程和商業中。然而,元啟發式最佳化演算法昂貴的計算時間導致許多領域的即時應用受到限制。提高元啟發式最佳化演算法的效率有幾個研究問題,包括硬體實作和代理輔助模型的應用。本演講將重點介紹用於連續、離散、二元和分類資料最佳化問題的元啟發式最佳化演算法。介紹代理輔助模型選擇、元啟發式最佳化演算法與代理輔助模型結合等。也將討論代理輔助最佳化演算法的三個主要分支,例如取樣方案、簡化適應度函數和維度分解。


演講者介紹:

潘正祥 於 1986 年獲得國立台灣科技大學電子工程學士學位, 1988年畢業於台灣交通大學電信所,獲碩士學位, 1996年獲得英國愛丁堡大學電機工程博士學位。目前為南京信息工程大學人工智能學院學科帶頭人,人工智能研究院院長,亦為山東科技大學兼任教授。發表科學網(Web of Science)收錄論文約700篇,SCI論文約500篇,H指數74,總被引次數23000餘次。他是英國IET Fellow,曾擔任IEEE訊號處理學會台南分會主席、IEEE台南分會副主席。目前的研究興趣包括無線感測器網路、運算智慧和智慧城市。

 


Date : 2024-11-12
Time : 15:10-17:00
Speaker : Jeng-Shyang Pan
Affiliation :  Professor, School of Artificial Intelligence, Nanjing University of Information Science and Technology / Adjunct Professor, Shandong University of Science and Technology
Topic :  Meta-heuristic Optimization Algorithms with
  Surrogate Assisted Models
Place : 3rd International Conference Room

Abstract:

Meta-heuristic Optimization Algorithms have been shown to be successful for many engineering and commercial applications. However, the  expensive computation time of the Meta-heuristic  Optimization Algorithms cause the limitations for the real time  applications of the many areas. There are several research issues to improve the efficiency of the Meta-heuristic Optimization Algorithms including the hardware implementation and the application of the surrogate assisted models. This talk will focus on the introduction of Meta-heuristic Optimization Algorithms for continuous, discrete, binary and categorical data optimization problems. The surrogate assisted optimization algorithms such as the surrogate assisted models selection, the combination of the Meta-heuristic Optimization Algorithm with the surrogate assisted models will be introduced. The three major branches of the surrogate assisted optimization algorithms, for example the sampling scheme, the simplified fitness function and the dimension decomposition will also be discussed.

Biography:
Jeng-Shyang Pan received the B. S. degree  in Electronic Engineering from the National Taiwan University of Science and Technology in 1986, the M.S. degree in communication engineering from National Chiao Tung University, Taiwan, in 1988, and the Ph.D. degree in electrical engineering from the University of Edinburgh, U.K. in 1996. He is currently a Professor with the School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China. He is also the Adjunct Professor in Shandong University of Science and Technology. He has published around 700 papers indexed by Web of Science and around  500 papers indexed by SCI, the H-index is 74 and the total cited times are more than 23,000. He is the IET Fellow, UK and has been the Tainan Chapter Chair of IEEE Signal Processing Society and the Vice Chair of IEEE Tainan Section. His current research interests include wireless sensor network, computational intelligence, and smart city.